Worst-case flutter margins may be computed for a linear model with respect to a set of uncertainty operators using the structured singular value. This paper considers an on-line implementation to compute these robust margins in a flight test program. Uncertainty descriptions are updated at test points to account for unmodeled time-varying dynamics of the airplane by ensuring the robust model is not invalidated by measured flight data. Robust margins computed with respect to this uncertainty remain conservative to the changing dynamics throughout the flight. A simulation clearly demonstrates this method can improve the efficiency of flight testing by accurately predicting the flutter margin to improve safety while reducing the necessary flight time.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Worst-Case Approach for On-Line Flutter Prediction


    Contributors:
    R. C. Lind (author) / M. J. Brenner (author)

    Publication date :

    1998


    Size :

    8 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English